content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @copyright © 2010 - 2021, Fraunhofer-Gesellschaft zur Foerderung der
# angewandten Forschung e.V. All rights reserved.
#
# BSD 3-Clause License
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the fol... | [
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7... | 2.83027 | 1,632 |
# Design an algorithm and write code to find the first common ancestor of two nodes in a binary tree. Avoid storing additional nodes in a data structure.
# Note: Not necessarily a binary search tree.
from utils import Node
# First Binary Search Tree
node_i = Node(13)
node_h = Node(4)
node_g = Node(7)
node_f = Node(... | [
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... | 2.484444 | 450 |
"""
Errors for the :mod:`~multiformats.multihash` module.
"""
import builtins
class MultihashKeyError(builtins.KeyError): # pylint: disable = redefined-builtin
""" Class for :mod:`~multiformats.multihash` key errors. """
...
class MultihashValueError(builtins.ValueError): # pylint: disable = redefined-bu... | [
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... | 2.795775 | 142 |
# _*_coding:utf-8_*_
import unittest
import os
from lib import (HTMLTESTRunnerCN, gl, scripts)
from lib.emailstmp import EmailClass
if __name__ == "__main__":
# scripts.remove_all_files(gl.imgPath)
# suite = unittest.TestSuite()
# suite.addTest(
# unittest.defaultTestLoader.discover(gl.casePath, 't... | [
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... | 1.549654 | 1,299 |
"""
Copyright 2016 Platform9 Systems Inc.(http://www.platform9.com)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or... | [
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743,
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2393,... | 3.7713 | 223 |
import numpy as np
import pytest
import torch
from src.lagrange.exact import compute_exact_multipliers
from src.lagrange.approximate import compute_approximate_multipliers
@pytest.mark.filterwarnings(
"ignore:The approximation method for multiplier computation is unstable. It has therefore been deprecated"
)
| [
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from setuptools import setup, find_packages
with open('README.rst') as f:
description = f.read()
setup(
name='bridson',
url='http://github.com/emulbreh/bridson/',
version='0.1.0',
packages=find_packages(),
license=u'MIT License',
author=u'Johannes Dollinger',
description=u'poisson di... | [
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... | 2.67623 | 244 |
import asyncio
import time
import unittest
from unittest import mock
from saq.job import Job, Status
from saq.queue import JobError
from saq.utils import uuid1
from saq.worker import Worker
from tests.helpers import create_queue, cleanup_queue
functions = [echo, error]
| [
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... | 3.365854 | 82 |
__all__ = ["UserTuple", "DocValue", "DocDict"]
from copy import copy, deepcopy
from typing import Sequence, Union, Iterable
from wrapt import ObjectProxy
from wrapt.wrappers import _ObjectProxyMetaType # noqa
class DeviceDataFilter:
"""`DeviceDataFilter` represents the conditions for reading device data;
th... | [
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1... | 2.591187 | 817 |
# Generated by Django 3.2.11 on 2022-01-20 22:49
from django.db import migrations, models
| [
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# Copyright (c) 2018, 2019, Oracle and/or its affiliates. All rights reserved.
# DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
#
# The Universal Permissive License (UPL), Version 1.0
#
# Subject to the condition set forth below, permission is hereby granted to any
# person obtaining a copy of this softw... | [
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... | 2.726784 | 2,046 |
# coding: utf-8
"""
Wavefront REST API
<p>The Wavefront REST API enables you to interact with Wavefront servers using standard REST API tools. You can use the REST API to automate commonly executed operations such as automatically tagging sources.</p><p>When you make REST API calls outside the Wavefront REST ... | [
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... | 2.90671 | 611 |
file1 = open('input.txt', 'r')
lines = file1.readlines()
startLine = lines[0]
transitions: list[Transition] = []
for line in lines[2:]:
split = line.split()
transitions.append(Transition(Sequence(split[0][0], split[0][1]), split[2]))
# execute
accumulationMap = ElementCountMap()
ecc = ElementCountCache()
de... | [
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1... | 2.860465 | 301 |
#-------------------------------------------------------------------------------
# for memory initialization and to notify the execution cycle count
#-------------------------------------------------------------------------------
INIT_BRAM_SIZE = 128
#INIT_DRAM_SIZE = 1024 * 1024 * 512
INIT_DRAM_SIZE = 1024 * 1024 * 12... | [
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import threading
import time
from otrs_python_api.exceptions import InvalidInitArgument
| [
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# problem8.py
s = "731671765313306249192251196744265747423553491949349698352031277450632623957831801698480186947885184385861560789112949495459501737958331952853208805511125406987471585238630507156932909632952274430435576689664895044524452316173185640309871112172238311362229893423380308135336276614282806444486645238749... | [
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from django.db.models import Count, Min, Sum, F, Max, Avg
from day7.models import OrderItem, ProductCost
from decimal import (
Decimal,
)
def get_average_cost_without_product(product, begin, end):
"""Возвращает среднюю стоимость заказов без указанного товара за определенный промежуток времени
Args:
... | [
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1... | 1.849862 | 726 |
import numpy
def g_function(ni, ki, n_back=1.0, k_back=0):
"""Function defined to summary some calculations. For more information,
please consult http://bdigital.unal.edu.co/65682/1/1053830848.2018.pdf,
pag. 26.
"""
ans = (n_back ** 2 - ni ** 2 + k_back ** 2 - ki ** 2) / (
(n_back + ni) **... | [
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1... | 2.212346 | 810 |
#!/usr/bin/env python
import sys
srfile = file(sys.argv[1])
table = {}
for line in srfile.xreadlines():
clas, repl = line.split()
if repl[-1] not in '-?':
table['class' + clas] = repl
for line in sys.stdin.xreadlines():
fn, clas = line.split()
if table.has_key(clas):
print fn, table[cl... | [
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2... | 2.234483 | 145 |
# Generated by Django 2.0.1 on 2018-03-15 23:39
from django.db import migrations, models
| [
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] | 2.84375 | 32 |
from distutils.core import setup
setup(
name='fasterpay-python3',
packages=['fasterpay'],
version='1.2',
license='MIT',
description='Integrate FasterPay into your application using fasterpay-python SDK',
author='FasterPay Integrations Team',
author_email='integration@fasterpay.com',
url='https://github.... | [
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1163... | 3.123016 | 252 |
"""
========================================================================
HeuristicTopo.py
========================================================================
Author : Shunning Jiang
Date : Dec 26, 2018
"""
import ast
from queue import PriorityQueue
from graphviz import Digraph
from pymtl3.passes.BasePass... | [
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3441... | 4.204918 | 122 |
import re
import asyncpraw
import asyncio
from requests.models import HTTPError
import yfinance
import simfin as sf
from urllib.error import HTTPError
from collections import Counter
from datetime import datetime
sf.set_api_key('free')
sf.set_data_dir('~/simfin_data/')
df = sf.load_income(variant='annual', market='us'... | [
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# -*- coding: utf-8 -*-
# @Time : 2022/2/23 15:55
# @Author : ZhaoXiangPeng
# @File : cmdline.py
import sys
from os.path import dirname, join
from . import create_builder
def _print_commands():
"""
@summery: copy form https://github.com/Boris-code/feapder/blob/master/feapder/commands/cmdline.py
""... | [
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# local modules
import numpy,dill
from . import operators
from . import basis
from . import tools
__version__ = "0.3.4"
__all__ = ["basis","operators","tools"]
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... | 3.037736 | 53 |
import base64
import requests
from time import sleep
import os
from flask import Flask, request, redirect, url_for, render_template
from werkzeug import secure_filename
import cv2
import wikipedia
import secret_access_key as secret_access_key
img = 'calla_lily.jpg'
img = 'gloriosa.jpg'
imgName = 'Calla lily'
imgName =... | [
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... | 2.521978 | 364 |
#! /usr/bin/env python
#######################################
# A python script to plot the averaged
# columns data.
#
# Email: petebunting@mac.com
# Date: 01/02/2012
# Version: 1.0
#######################################
import os.path
import sys
from datetime import datetime,timedelta
from math import *
import op... | [
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... | 3.191358 | 162 |
import parselmouth
import glob
import sys
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import scipy.io.wavfile as wav
from python_speech_features import mfcc
from python_speech_features import delta
from python_speech_features import logfbank
sns.set() # Use seaborn's default s... | [
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#
# Copyright (c) 2019 Foundries.io
# SPDX-License-Identifier: Apache-2.0
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"""Test cases for looseserver common helper functions."""
import pytest
from looseserver.common.utils import ensure_endpoint
@pytest.mark.parametrize(
argnames="specified_endpoint,expected_endpoint",
argvalues=[
("/valid/", "/valid/"),
("/missed-at-the-end", "/missed-at-the-end/"),
(... | [
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... | 2.520249 | 321 |
from config import get_args
import preprocess, models, runner
import torch
from torchvision import datasets, transforms
from dataset import FrameDataset
from torch.utils.data import random_split
import pdb, os
if __name__ == '__main__':
main()
"""
Things to get done:
1. Normalize features before entering into m... | [
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# coding: utf8
shortcuts = {
"Adobe Illustrator": #https://helpx.adobe.com/illustrator/using/default-keyboard-shortcuts.html
{
"Undo": "⌘ + Z",
"Redo": "⇧ + ⌘ + Z",
"Cut": "⌘ + X",
"Copy": "⌘ + C",
"Paste": "⌘ + V",
"Paste in front": "... | [
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... | 2.219526 | 10,714 |
# coding: utf-8
from datetime import datetime
from datetime import timedelta
from leancloud import Object
from leancloud import ACL
from leancloud import Engine
from leancloud import LeanEngineError
from app import app
engine = Engine(app)
# Hook 函数
@engine.before_save('Todo')
# 定时任务
@engine.define
| [
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7117... | 3.039604 | 101 |
"""
Run length encoding of a binary image (in numpy format)
References
* https://www.kaggle.com/paulorzp/run-length-encode-and-decode
* https://www.kaggle.com/stainsby/fast-tested-rle
"""
import numpy as np
| [
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# -*- coding: utf-8 -*-
"""
Requires Python 3.0 or later
"""
__author__ = "Jorge Morfinez Mojica (jorge.morfinez.m@gmail.com)"
__copyright__ = "Copyright 2020, Jorge Morfinez Mojica"
__license__ = ""
__history__ = """ """
__version__ = "1.1.A10.5 ($Rev: 25 $)"
import json
import re
import threading
import time
import... | [
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import math
| [
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] | 4 | 3 |
import os
import unittest
from contextlib import redirect_stdout
from linkml.generators.sparqlgen import SparqlGenerator
from tests.test_generators.environment import env
SCHEMA = env.input_path('kitchen_sink.yaml')
DIR = env.expected_path('kitchen_sink_sparql')
SPARQL = env.expected_path('kitchen_sink.rq')
if ... | [
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#Escreva um programa que pergunte a quantidade de Km percorridos por um carro alugado e a quantidade de dias pelos
# quais ele foi alugado.
#DIARIA R$60 , R$ 0,15 p KM rodado
diaria = int(input("Digite a quantidade de dias de uso do veículo : "))
kmr = float(input("Digite o numero de km rodados: "))
usodia = diaria *... | [
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15152,... | 2.299107 | 224 |
from .cnpj import *
from .env_parsers import *
| [
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"""
Copyright (C) 2018-2021 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to i... | [
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1... | 4.059172 | 169 |
# ______________________________________________________________________________
# The Wumpus World
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from textwrap import dedent
num_dict = {
"零": 0,
"〇": 0,
"一": 1,
"二": 2,
"两": 2,
"三": 3,
"四": 4,
"五": 5,
"六": 6,
"七": 7,
"八": 8,
"九": 9,
"十": 10,
"廿": 20,
"卅": 30,
"卌": 40,
"百": 100,
"千": 1000
}
valid_filenames = dict((ord(char), None) for char i... | [
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... | 1.636 | 500 |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
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# encoding: utf-8
import re
from importlib import import_module
from requests.exceptions import HTTPError
from .exceptions import (AuthenticationError, BadRequestError,
ItemNotFoundError, ServerError)
snake = _snake()
new_item = _new_item()
class Item:
'''
classdocs
'''... | [
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# flake8: noqa
from .linkage import EmpiricalLinkage
| [
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#!/usr/bin/env python3.5
import sys
import threading
from tornado import gen
from myslice.services.workers.authorities import syncAuthorities
from myslice.services.workers.projects import syncProjects
from myslice.services.workers.users import syncUsers
from myslice.services.workers.slices import syncSlices
from mysl... | [
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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from ..visualization.plot import PATH
from ..metrics import *
from .config import *
color = ['darkorange', 'cornflowerblue', 'c', 'y']
def distribution_plot(x1, x2=None, x3=None, x4=None, label1='train',
... | [
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from six.moves.urllib import parse
from mod_pywebsocket import common
from mod_pywebsocket import msgutil
| [
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import cv2
import numpy as np
import os
import time
classFile = 'coco.names'
classNames = []
with open (classFile, 'rt') as f:
classNames = f.read().rstrip('\n').split('\n')
weightsPath = "yolov3.weights"
configPath = "yolov3.cfg"
net = cv2.dnn.readNetFromDarknet(configPath, weightsPath)
net.setPreferableBacken... | [
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# ------------------------------------------------------------------------------------
# Tutorial: Learn how to use Dictionaries in Python
# ------------------------------------------------------------------------------------
# Defining a more advanced dictionary
# You can define an empty dictionary by leaving the spa... | [
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... | 3.450549 | 1,001 |
import tensorflow as tf
import numpy.random as npr
import numpy as np
if __name__ == '__main__':
computeTSNE()
| [
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from __future__ import division
import sys
import json
import numpy as np
from numpy.random import randint as rnd
import matplotlib as mpl
import os
mpl.use('TkAgg')
import matplotlib.pyplot as plt
from matplotlib import cm
import matplotlib.animation as animation
#----------------------------------------------------... | [
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... | 2.586721 | 4,157 |
from ..data import Data1D
data = Data1D(100)
data.show()
| [
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#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Andre Anjos <andre.anjos@idiap.ch>
# Thu 20 Mar 2014 12:43:48 CET
"""Tests for file search utilities
"""
import os
import sys
import nose.tools
import pkg_resources
from nose.plugins.skip import SkipTest
from .utils import uniq, egrep, find_file, find_header, fi... | [
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... | 2.962406 | 133 |
"""Main PiShot script.
"""
from __future__ import print_function
import os
import subprocess
import time
import signal
import argparse
import RPi.GPIO as GPIO
INPUT_PIN = 17 # Trigger pin.
CLONE_PIN = 23 # Mirror trigger pin.
GPIO.setmode(GPIO.BCM)
GPIO.setup(INPUT_PIN, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
GPIO.s... | [
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... | 2.345975 | 1,292 |
#Imports
import math
import random
import Const
'''
NOTE:
Relies on numpy.
'''
class InvertedIndexCreator:
'''
Gives the number of k regions in the coarse quantizer (qc).
'''
| [
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from __future__ import absolute_import, division, print_function
import os
import unittest
from tempfile import mkstemp
import numpy as np
np.random.seed(8)
if __name__ == '__main__':
unittest.main()
| [
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1... | 2.985507 | 69 |
# -*- coding: utf-8 -*-
import shutil
import tempfile
from Crypto.Cipher import AES
import mock
from twisted.trial import unittest
from lbrynet.core import BlobManager
from lbrynet.core import Session
from lbrynet.core.server import DHTHashAnnouncer
from lbrynet.file_manager import EncryptedFileCreator
from lbrynet.f... | [
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1... | 3.225806 | 124 |
# encoding: utf-8
"""
Provides the PackURI value type along with some useful known pack URI strings
such as PACKAGE_URI.
"""
import posixpath
import re
class PackURI(str):
"""
Provides access to pack URI components such as the baseURI and the
filename slice. Behaves as |str| otherwise.
"""
_file... | [
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# This module is part of CARA. Please see the repository at
# https://gitlab.cern.ch/cara/cara for details of the license and terms of use.
"""
This module implements the core CARA models.
The CARA model is a flexible, object-oriented numerical model. It is designed
to allow the user to swap-out and extend its various... | [
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... | 2.626031 | 7,760 |
#!/usr/bin/env python
import rospy
import os, sys
projectDir = os.path.join(os.path.dirname(__file__), '../pysrc/')
sys.path.append(projectDir)
sys.path.append(projectDir + "kollrobot_controller/")
from nodes.MesseDemo import MesseDemo
if __name__ == '__main__':
try:
messeDemo = MesseDemo()
mess... | [
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7,
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893... | 2.331325 | 166 |
from flask import Flask, render_template, request
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
bot = ChatBot('Test') #create chatbot
conv = open('abc.txt', 'r').readlines()
bot.set_trainer(ListTrainer)
bot.train(conv)
while True:
request = raw_input('You: ')
response = bot.get_res... | [
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1303,
17953,
... | 2.968 | 125 |
import heapq
| [
11748,
24575,
80,
628,
628,
628
] | 3 | 6 |
from os.path import join
import sys
import numpy as np
from seisflows.tools import msg
from seisflows.tools import unix
from seisflows.tools.array import loadnpy, savenpy
from seisflows.tools.code import divides, exists
from seisflows.tools.config import SeisflowsParameters, SeisflowsPaths, \
ParameterError
PAR ... | [
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844,
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... | 2.211509 | 4,605 |
#!/usr/bin/env python3
# coding: utf-8
from enum import Enum, auto
from sys import version_info
from typing import Any, Dict, List
if version_info.minor < 8:
from typing_extensions import TypedDict
else:
from typing import TypedDict # type: ignore
class DefaultWorkflowEngineParameter(TypedDict):
"""
... | [
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1330,
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11,
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713,
11,
7343,
198,
... | 2.912981 | 3,459 |
from pyamf.remoting.client import RemotingService
client = RemotingService('https://demo.pyamf.org/gateway/authentication')
client.setCredentials('jane', 'doe')
service = client.getService('calc')
print service.sum(85, 115) # should print 200.0
client.setCredentials('abc', 'def')
print service.sum(85, 115).descripti... | [
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2... | 3.234234 | 111 |
import torch
import numpy as np
import math
import HumanAug
def get_preds(scores):
''' get predictions from score maps in torch Tensor
return type: torch.LongTensor
'''
assert scores.dim() == 4, 'Score maps should be 4-dim'
maxval, idx = torch.max(scores.view(scores.size(0), scores.size(1), -1)... | [
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... | 2.17894 | 1,358 |
from typing import List, Tuple
# import spacy
# import stanza
# import trankit
from .convert import adjac_to_nested_with_attr
from .extract import remove_node_ids
from .shingleset import shingleset
import json
def to_adjac_from_spacy(corpus: str,
model #: spacy.lang
) ... | [
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230... | 2.081377 | 1,278 |
import pickle
from rasa.nlu.model import UnsupportedModelError
| [
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628
] | 3.421053 | 19 |
import pickle
import random
import time
from queue import Queue
import numpy as np
from ._generate_neighbor import generate_neighbor
from ..exception import InfeasibleSolutionException
from ..util import get_stop_condition, Heap
class TabuSearchAgent:
"""
Tabu search optimization agent.
:type stopping_... | [
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1... | 2.34613 | 4,741 |
import numpy as np | [
11748,
299,
32152,
355,
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] | 3.6 | 5 |
from flask import Flask, render_template,request,redirect,escape,session,copy_current_request_context,jsonify
#from vsearch import search4letters
#from DBcm import UseDatabase,ConnectionError,CredentialsError,SQLError
from checker import check_logged_in
from threading import Thread
from time import sleep
import s... | [
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201... | 2.341573 | 445 |
import sys
import os
import json
from hashlib import md5
import urllib.request
from opendrivecli.odloglevel import ODLogLevel
from opendrivecli.odaccessperm import ODAccessPerm
class OpenDriveAPI:
"""
OpenDrive API Class
"""
BASEURL = "https://dev.opendrive.com/api/v1/"
ACCESS_PRIVATE = 0
ACCE... | [
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198,
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4... | 2.14781 | 5,480 |
'''Crie um programa que leia a idade e o sexo de várias pessoas. A cada pessoa cadastrada, o programa deverá perguntar
se o usuário quer ou não continuar.
No final, mostre:
A) Quantas pessoas tem mais de 18 anos.
B) Quantos homens foram cadastrados.
C) Quantas mulheres tem menos de 20 anos.'''
homens = 0
adultos = 0
mu... | [
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81,
4763,
11,
267,
1430,
64,
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332,
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5... | 2.074766 | 535 |
"""
The following describes:
A. LOGIC USED IN "dashboard_stats.sql" QUERY TO DETERMINE COVERAGE AND GAPS
B. HOW THIS TEST CASE VALIDATES THE ABOVE LOGIC
A. LOGIC USED IN "dashboard_stats.sql" QUERY TO DETERMINE COVERAGE AND GAPS
Requirement is to calculate *coverage* and *gaps* in a... | [
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5390,
38267,
1137,
44,
8881,
47902,
11879,
5357,
... | 2.599628 | 2,153 |
"""
Module for building Data Specs programmatically.
Examples:
>>> import datacraft
>>> builder = datacraft.spec_builder()
>>> builder.values('names', ['amy', 'bob', 'cat','dan'])
>>> builder.range_spec('ages', data=[22, 33])
{'names': {'type': 'values', 'data': ['amy', 'bob', 'cat', 'dan']}, 'ages... | [
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330,
1617,
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62,
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198,
220,
220,... | 2.247525 | 16,362 |
"""
mcpython - a minecraft clone written in python licenced under the MIT-licence
(https://github.com/mcpython4-coding/core)
Contributors: uuk, xkcdjerry (inactive)
Based on the game of fogleman (https://github.com/fogleman/Minecraft), licenced under the MIT-licence
Original game "minecraft" by Mojang Studios (www.m... | [
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6... | 2.3782 | 1,211 |
# coding: utf-8
"""
Attention modules
"""
import torch
from torch import Tensor
import torch.nn as nn
import torch.nn.functional as F
class AttentionMechanism(nn.Module):
"""
Base attention class
"""
class BahdanauAttention(AttentionMechanism):
"""
Implements Bahdanau (MLP) a... | [
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__________________________________________________________________________________________________
SELECT Email FROM Person GROUP BY Email
HAVING COUNT(*) > 1;
__________________________________________________________________________________________________
SELECT DISTINCT p1.Email FROM Person p1
JOIN Person p2 ON p1.... | [
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... | 6.260274 | 73 |
from django.db.models import Q
from django.contrib.auth import get_user_model
from rest_framework.response import Response
from rest_framework.status import HTTP_200_OK, HTTP_400_BAD_REQUEST
from rest_framework.views import APIView
from rest_framework.filters import (
SearchFilter,
OrderingFilter,
)
from rest_fram... | [
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13... | 3.109929 | 282 |
from MultyLayerBackProp import backprop
import numpy as np
# --- testing perceptron ---#
#AND gate
i=np.array([[1, 1],
[0, 1],
[1, 0],
[0, 0]])
targets=np.array([[1.],
[0.],
[0.],
[0.]])
# ===================... | [
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72,... | 2.244763 | 907 |
import os
import pytest
from lib.codegen.generator import Generator
TEMPLATES = os.path.join(
(os.path.dirname(os.path.dirname(__file__))),
'codegen_templates',
)
SCHEMA = os.path.join(
((os.path.dirname(__file__))),
'testcases', 'contacts1.json'
)
@pytest.fixture(params=[
(SCHEMA, 'models', f... | [
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7,
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3... | 2.271277 | 188 |
import logging
from typing import Any
import great_expectations.exceptions as ge_exceptions
from great_expectations.core.batch import BatchDefinition
from great_expectations.datasource.data_connector.sorter import Sorter
from great_expectations.util import is_int, is_numeric
logger = logging.getLogger(__name__)
| [
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62,
... | 3.361702 | 94 |
#!/usr/bin/env python
import csv
import sys
if __name__ == "__main__":
mapper() | [
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# -*- coding: utf-8 -*-
from __future__ import print_function
import os
import sys
import codecs
import unittest
from StringIO import StringIO
# We include <pkg_root>/src, <pkg_root>/lib/python
extend_path = lambda root_path, folder: sys.path.insert(
0, os.path.join(root_path, folder))
ROOT = os.path.dirname(os.pat... | [
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# Bayesian ratio distribution analysis
# including systematic prior scale parameter uncertainties
#
#
# m.mieskolainen@imperial.ac.uk, 2020
import numpy as np
import matplotlib.pyplot as plt
import numba
import sys
import os
from scipy.integrate import simps
sys.path.append('./analysis')
sys.path.append('./covidge... | [
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628,
198,
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299,
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355,
45... | 2.251479 | 2,366 |
from animation.arb import Arb
from animation.arb_element import distribute_arb_element
from animation.posture_manifest import MATCH_NONE
from event_testing.resolver import SingleObjectResolver, SingleSimResolver
from event_testing.results import TestResult
from interactions import ParticipantType
from interactions.util... | [
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... | 3.779412 | 204 |
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
| [
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1... | 3.772727 | 44 |
import base64
import json
import os
import sys
import re
from logging import getLogger, StreamHandler, INFO
from google.cloud import storage
age = os.environ.get('LIFECYCLE_EXPIRE')
ignorePatterns = os.environ.get('IGNORE_PATTERNS')
logger = getLogger(__name__)
handler = StreamHandler()
handler.setLevel(INFO)
logger.... | [
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13,
... | 2.761905 | 252 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Load data task"""
from trading_bot.utils import make_logger
LOGGER = make_logger(__name__)
def remove_outdated_symbols():
"""Remove outdated symbols"""
LOGGER.info("I've removed the symbols info which is outdated")
| [
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25294,... | 2.895833 | 96 |
# %%
# %reload_ext autoreload
# %autoreload 2
# %matplotlib inline
NOTEBOOK = 0
# %%
from omegaconf import OmegaConf
cfg = OmegaConf.load(r'/home/michael/dev/phoenix/PytorchLightningTools/notebooks/imagenette/config.yaml')
# %%
import numpy as np
from skimage.transform import resize
SIZE = (3, 128, 128)
# %%
impo... | [
2,
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# -*- coding: utf-8 -*-
"""
report.schema
~~~~~~~~~~~~~~~~~~~~
Custom schema validator for biovis config.
:copyright: © 2019 by the BioVis team.
:license: AGPL, see LICENSE.md for more details.
"""
from jsonschema.exceptions import ValidationError
from jsonschema import validators, Draft7Validato... | [
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628,... | 2.836257 | 171 |
# Code generated by lark_sdk_gen. DO NOT EDIT.
from pylark.lark_request import RawRequestReq, _new_method_option
from pylark import lark_type, lark_type_sheet, lark_type_approval
import attr
import typing
import io
@attr.s
@attr.s
@attr.s
| [
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66... | 2.655914 | 93 |
import csv
import json
import os
import sys
import argparse
import pandas as pd
def get_count_to_submit(counts, n_total, dataset, method, subsampling=None, data_format=None):
"""
Function that takes info about job and checks in
counts dictionary how many runs are still missing
(= less than n_total)
... | [
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27039,... | 1.933643 | 6,028 |
"""The loaders are used to load the data from a particular format to :class:`numpy.ndarray` or
:class:`List[numpy.ndarray]`
"""
import os
from typing import List, Union
import nibabel as nib
import numpy as np
import torch
from PIL import Image
HANDLED_TYPES = [".pt", ".nii", "nii.gz", "bmp", "jpg", "jpeg", "png"]
... | [
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... | 2.160671 | 1,251 |
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... | [
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779,
428,
2393,
284... | 2.915584 | 462 |
import copy
import pprint
import numpy as np
from shapely import geometry
from .dedup import Dedup
from ..ops import is_ccw
from ..utils import serialize_as_svg
from ..utils import serialize_as_json
class Hashmap(Dedup):
"""
hash arcs based on their type
"""
def to_dict(self):
"""
Con... | [
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198,
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1330,
11389... | 2.012662 | 7,029 |
__author__ = 'Sushant'
from graph import Graph
import threading
from prioritydict import PriorityDict
"""
G = Dijkstra(10, 1)
G.add_edge(1, 2, 0.1)
G.add_edge(1, 3, 0.3)
G.add_edge(2, 3, 0.1)
G.add_edge(3, 4, 0.1)
G.add_edge(2, 4, 0.5)
print "Calculating all possible shortest paths"
G.calculate_all_shortest_paths... | [
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19... | 2.340314 | 191 |
from distutils.core import setup
import requests.certs
import py2exe
setup(
name='hogge',
version='1.0.1',
url='https://github.com/igortg/ir_clubchamps',
license='LGPL v3.0',
author='Igor T. Ghisi',
description='',
console=[{
"dest_base": "ir_clubchamps",
"script": "main.py... | [
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3256... | 1.981538 | 325 |
# Copyright (c) 2019-2020, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | [
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... | 2.421905 | 1,050 |